Search Results - Research Square

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  1. 1

    Classic action recognition of cross-country skiing sports combining ant colony and clustering algorithm

    Yu, H., Li, Y. “…Metrics such as the sum of squared intra-cluster errors are used to evaluate cluster tightness for validation analysis. …”
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  2. 2

    Metrics for comprehensive monitoring that assess the performance of cross-country skiers in sprint races

    Salova Yu. P., Lenkova S. A. “…The research was conducted using Python 3.10 in the Google Colab environment, with the aid of regression analysis and the least squares method. …”
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  3. 3

    Metabolic phenotyping from whole-blood responses to a standardized exercise test may discriminate for physiological, performance, and illness outcomes: A pilot study in highly-trai...

    Karlsson, Ø., Govus, A. D., McGawley, K., Hanstock, H. G.
    Published in Sports Medicine - Open (2024)
    “…Illness data were collected prospectively for 33 weeks using the Oslo Sports Trauma Research Center Questionnaire on Health Problems. Orthogonal partial least squares-discriminant analyses (OPLS-DA) followed by enrichment analyses were used to identify metabolic phenotypes of athlete groups with specific physiological, performance, and illness characteristics. …”
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  4. 4

    Effectiveness of multi-component interventions on injury risk among ice and snow sports participants - A systematic review and meta-analysis

    Fan, Z., Min, L., He, W., Yang, Y., Ma, W., Yao, J.
    Published in Research Square (2024)
    “…Research Square…”
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  5. 5

    Heart rate variability in cross-country skiers aged 15-18 years living in the Komi Republic: Age- and sex-related differences

    Markov, A. L. “…The recordings were analysed using the Ecosan-2007 hardware and software complex. The research was conducted during the preparatory cycle. …”
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  6. 6

    The influence of slope and speed on locomotive power in cross-country skiing

    Hausken, K.
    Published in Human Movement Science (2014)
    “…Distance and height along the track were measured using a measuring wheel and an inclinometer generating 52 datapoints. Research assistants measured time from start at 14 different positions. …”
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  7. 7

    The Biomechanics of CrossCountrySkiing

    Minetti, A. E., Canclini, A., Cotelli, F., Smith, G.
    “…Mainly for technical reasons, the same methodologies used to evidentiate the mechanical determinants of walking and running energetics have not been successfully emploied in CCS research. The main difficulty is in obtaining the 3D coordinates of the athlete body segments with a reasonable spatial and temporal resolution, spanning at least a complete stride in the natural environment. …”
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